AI Agent Developer: Philadelphia

Hire an AI agent developer in Philadelphia.

If you are CMIO or VP of Clinical Informatics at Jefferson Health, Penn Medicine, or Temple Health, you know the documentation problem by the numbers: nurses and physicians spend 2–3 hours per 12-hour shift on clinical documentation. That is 17–25% of every clinical shift on paperwork.

An ambient documentation agent processes transcribed patient encounter notes and drafts structured clinical notes for physician review. Documentation time drops to 20–30 minutes per shift. The physician reviews the draft, edits, and signs. The agent does not submit anything.

The agent pulls relevant history from the EHR, generates the note in the correct format for the specialty, and flags required elements that are missing from the encounter. HIPAA compliance is built into the architecture, not added after.

How we work

Tell us about your clinical documentation or service workflow.

Who this is for.

Clinical informatics and IT leaders at Philadelphia-area health systems who have authority over EHR workflow and integration approvals. The ambient documentation agent touches your Epic or Cerner environment. It requires someone with integration authority to proceed.

Also relevant: Independence Blue Cross, which processes prior authorization requests and member communications. Comcast Business, which runs large-scale customer service operations where agent-assisted interaction documentation has the same structure as clinical note drafting: transcribe, draft, review, submit.

For legal, financial services, and pharma firms in Philadelphia with similar documentation-heavy workflows: the architecture transfers. The specialty-specific note format becomes a case memo format or a regulatory submission format. The compliance requirement changes. The pattern is the same.

The clinical documentation burden in practice.

Time per shift on documentation

2–3 hours of a 12-hour shift, for both physicians and nurses. Primary care physicians average 2 hours of after-hours documentation (pajama time) per day beyond their shift.

Note completion after the encounter

27% of clinical notes are completed more than 24 hours after the encounter, according to AMIA research. Memory degrades. Details get omitted. Billing codes get missed.

Burnout correlation

Documentation burden is the top driver of physician burnout in survey data from the AMA. Jefferson Health reduced physician attrition by 18% after reducing documentation time with ambient tools.

Missed billing elements

Notes completed under time pressure miss required billing elements. A missing HCC code on a high-risk patient encounter can mean $3,000–$8,000 in reduced reimbursement per encounter.

What the agent does and does not do.

The agent does

Processes the transcribed encounter audio into structured text
Pulls relevant EHR history: problem list, medications, prior notes
Drafts the note in your facility's specialty-specific format
Flags required elements that are missing from the encounter
Flags discrepancies between the encounter and existing EHR records
Presents the draft to the physician for review

The agent does not do

Submit the note to the EHR, physician review and signature required
Correct clinical judgment. It flags discrepancies, not resolves them
Diagnose or recommend treatment. It documents what was said
Access PHI without a logged, auditable session
Send data outside your HIPAA-compliant environment

What we build for Philadelphia health systems.

Ambient documentation agent

Processes encounter transcriptions, drafts structured clinical notes in specialty-specific formats, retrieves relevant EHR history via Epic FHIR or Cerner FHIR APIs, and flags missing or discrepant elements for physician review.

HIPAA-compliant infrastructure

PHI processed only within your environment or Azure OpenAI with BAA. Encrypted at rest and in transit. Full access logging for every PHI touch. Data flow documentation for your risk assessment process. No PHI stored on our infrastructure.

Specialty note templates

Templates built from your facility's actual note formats, not generic templates. Orthopedics, psychiatry, internal medicine, emergency, and other subspecialties each get distinct templates with the correct section structure and required element checklist.

Prior auth and service workflow agents

For Independence Blue Cross and other Philadelphia insurers: prior authorization request agents that collect clinical documentation, check payer criteria, and draft submission packages. Same HIPAA-compliant architecture, different workflow.

Questions from Philadelphia clinical informatics teams.

How does the ambient documentation agent handle an encounter where the physician says something clinically incorrect, does it transcribe it as-is?: The agent transcribes what was said and drafts a note from that content. It does not correct clinical judgment, that is the physician's domain. If the physician describes a medication dose that differs from the EHR's current medication record, the agent flags the discrepancy in the draft note for physician review rather than silently transcribing or silently correcting. The physician sees the flag, makes the decision, and signs the note. The agent surfaces inconsistencies; it does not resolve them.
What EHR systems can the agent integrate with for pulling prior history. Does it need to work with Epic specifically?: Jefferson Health and Penn Medicine run Epic. Temple Health runs Cerner. The agent integrates with both via FHIR R4 APIs, which are the standard integration layer for modern EHR systems. For Epic specifically, we use the Epic FHIR API with SMART on FHIR authentication. The agent pulls prior encounter summaries, problem list, medications, allergies, and relevant lab results for the current encounter. The pull is scoped to the clinically relevant history (not the full chart) to keep note generation fast and focused.
What does HIPAA compliance look like for an agent that processes PHI during the clinical note drafting step?: PHI processed by the agent is encrypted in transit and at rest. The model used for note generation is either Azure OpenAI (with a BAA from Microsoft) or a self-hosted model in your own infrastructure, not a public API endpoint without a BAA. The agent logs every access to PHI with a timestamp, user context, and the specific data fields accessed. Those logs are retained per your records retention policy. The note draft exists only in your environment; it is not stored on our infrastructure. We document all PHI flows in a data flow diagram that supports your BAA and risk assessment process.
How do you handle the specialty-specific note format requirements, an orthopedic surgeon's note looks very different from a psychiatrist's?: Each specialty gets its own note template in the agent's configuration. An orthopedic note includes a musculoskeletal exam section, surgical history, implant documentation fields, and imaging summary. A psychiatric note includes a mental status examination, risk assessment, and psychosocial history. The templates are built from the actual note formats used at your facility. We extract them from a sample of de-identified historical notes, not from a generic template library. Subspecialties within a department get their own template variants where the note structure differs materially.

Tell us your specialty mix and your current EHR.

Hire an AI agent developer in Philadelphia.

Who this is for.

The clinical documentation burden in practice.

Time per shift on documentation

2–3 hours of a 12-hour shift, for both physicians and nurses. Primary care physicians average 2 hours of after-hours documentation (pajama time) per day beyond their shift.

Note completion after the encounter

27% of clinical notes are completed more than 24 hours after the encounter, according to AMIA research. Memory degrades. Details get omitted. Billing codes get missed.

Burnout correlation

Documentation burden is the top driver of physician burnout in survey data from the AMA. Jefferson Health reduced physician attrition by 18% after reducing documentation time with ambient tools.

Missed billing elements

Notes completed under time pressure miss required billing elements. A missing HCC code on a high-risk patient encounter can mean $3,000–$8,000 in reduced reimbursement per encounter.

What the agent does and does not do.

The agent does

Processes the transcribed encounter audio into structured text
Pulls relevant EHR history: problem list, medications, prior notes
Drafts the note in your facility's specialty-specific format
Flags required elements that are missing from the encounter
Flags discrepancies between the encounter and existing EHR records
Presents the draft to the physician for review

The agent does not do

Submit the note to the EHR, physician review and signature required
Correct clinical judgment. It flags discrepancies, not resolves them
Diagnose or recommend treatment. It documents what was said
Access PHI without a logged, auditable session
Send data outside your HIPAA-compliant environment

What we build for Philadelphia health systems.

Ambient documentation agent

HIPAA-compliant infrastructure

Specialty note templates

Prior auth and service workflow agents

Questions from Philadelphia clinical informatics teams.

How does the ambient documentation agent handle an encounter where the physician says something clinically incorrect, does it transcribe it as-is?

The agent transcribes what was said and drafts a note from that content. It does not correct clinical judgment, that is the physician's domain. If the physician describes a medication dose that differs from the EHR's current medication record, the agent flags the discrepancy in the draft note for physician review rather than silently transcribing or silently correcting. The physician sees the flag, makes the decision, and signs the note. The agent surfaces inconsistencies; it does not resolve them.

What EHR systems can the agent integrate with for pulling prior history. Does it need to work with Epic specifically?

Jefferson Health and Penn Medicine run Epic. Temple Health runs Cerner. The agent integrates with both via FHIR R4 APIs, which are the standard integration layer for modern EHR systems. For Epic specifically, we use the Epic FHIR API with SMART on FHIR authentication. The agent pulls prior encounter summaries, problem list, medications, allergies, and relevant lab results for the current encounter. The pull is scoped to the clinically relevant history (not the full chart) to keep note generation fast and focused.

What does HIPAA compliance look like for an agent that processes PHI during the clinical note drafting step?

PHI processed by the agent is encrypted in transit and at rest. The model used for note generation is either Azure OpenAI (with a BAA from Microsoft) or a self-hosted model in your own infrastructure, not a public API endpoint without a BAA. The agent logs every access to PHI with a timestamp, user context, and the specific data fields accessed. Those logs are retained per your records retention policy. The note draft exists only in your environment; it is not stored on our infrastructure. We document all PHI flows in a data flow diagram that supports your BAA and risk assessment process.

How do you handle the specialty-specific note format requirements, an orthopedic surgeon's note looks very different from a psychiatrist's?

Each specialty gets its own note template in the agent's configuration. An orthopedic note includes a musculoskeletal exam section, surgical history, implant documentation fields, and imaging summary. A psychiatric note includes a mental status examination, risk assessment, and psychosocial history. The templates are built from the actual note formats used at your facility. We extract them from a sample of de-identified historical notes, not from a generic template library. Subspecialties within a department get their own template variants where the note structure differs materially.

Tell us your specialty mix and your current EHR.